p_model_2
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4648
- Accuracy: 0.8717
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8037 | 1.0 | 832 | 0.5854 | 0.7853 |
| 0.4857 | 2.0 | 1664 | 0.4879 | 0.8249 |
| 0.4191 | 3.0 | 2496 | 0.4377 | 0.8522 |
| 0.3187 | 4.0 | 3328 | 0.4219 | 0.8585 |
| 0.2514 | 5.0 | 4160 | 0.4561 | 0.8612 |
| 0.2461 | 6.0 | 4992 | 0.4676 | 0.8660 |
| 0.1863 | 7.0 | 5824 | 0.4648 | 0.8717 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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